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Artificial Intelligence test agents for automated testing of Extended Reality (XR)
Extended Reality (XR) is an umbrella term for advanced interactive systems such as Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and systems with advanced 3D User Interfaces. These systems have emerged in various domains, from entertainment and education to combat training and mission-critical applications. XR systems typically involve a representation of a virtual world, are highly interactive and tend to be more immersive than other technologies.

Games have a great potential as learning tools, in particular, because they provide means for players to safely explore and fail, and because they promote personal emotional experiences. To be successful, games must present a good coverage and fidelity of the interaction experience regarding the target learning goals. In the case of learning of social skills, which is one prominent area of application of games, the use of AI characters with socioemotional agency has great potential value. These characters may increase the range of social situations that players can explore (coverage). However, in order to achieve that the AI characters need to be able to present good social behaviour (fidelity). Although, several examples of computational models to achieve this can be found, developing these models remains a challenging research question. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

In this work we propose a dynamic agent-based model of social identity, named IDeA, which is capable of creating characters that have an improved ability to handle and comprehend the social context in which a game situation takes place as well as the social identities involved in that context. The model explores how a character can use identity processes that are grounded on the social sciences literature as a tool for behaviour selection and filtering. As a result, characters will choose to adopt different identities dependent on their resources and goals as well as the relevant features of the contexts in which they find themselves in. A simple demonstrator application was implemented using our model to illustrate how a character can make different decisions in the same game scenario. Using the implemented demonstrator, a study was conducted where participants observed and judged how the character behaves in different conditions regarding the context of the situation. The results obtained revealed the presence of a dominant identity among the alternatives. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

This document presents the Final Release of the project's storytelling framework, which is composed by two assets. The framework is meant to aid developers in the creation of game scenarios where both players and autonomous characters are playing an active role in a narrative that unfolds according to their actions. Links to the source code of the assets as well as associated demonstrations and documentation are included. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

This document presents the first release of the project's storytelling framework, which is composed by two assets. The purpose of this framework is to facilitate the use of interactive storytelling for the development of applied games. More precisely, the framework is meant to aid developers in the creation of game scenarios where both players and autonomous characters are playing an active role in a narrative that unfolds according to their actions. The document describes the current state for the assets that are part of this framework, also providing links to the source code of the assets as well as associated demonstrations and documentation. The primary audience for the contents of this deliverable are the game developers that will use the proposed framework in their development process. The information about the specific RAGE use cases that are using the framework is written in Deliverable 4.2. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

In today's ubiquitously connected society, citizens are continuously exposed to information energy usage- related. information However, users are not interpreting or taking appropriate action to benefit from the opportunities such information embodies. This concern is particularly relevant when time-dependent and especially real-time pricing of electricity is available. A parallel problem resides in businesses not transferring energy pricing variations onto their customers, in a way that shields them from effectively contributing to demand response. Under such a scenario, for businesses to remain competitive, different levels of services could be offered, according to the time of day at which energy consumption takes place. This paper is grounded on the assumption that energy consumers require assistance for making appropriate energy usage choices in the ever-complex evolving energy market, especially in consuming services and products that optimize overall energy use. A tentative architecture for a community-wide collaborative energy optimization platform is presented, aimed at engaging citizens, business owners, and city authorities into exploring alternative efficient behaviour scenarios. This work also reviews and discusses how developments in fields of cloud-based data acquisition, energy management, and ICT-based engagement platforms can be integrated to realize this vision. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

This paper describes the structural architecture of the RAGE repository, which is a unique and dedicated infrastructure that provides access to a wide variety of advanced technologies (RAGE software assets) for applied game development. These software assets are reusable across a wide diversity of game engines, game platforms and programming languages. The RAGE repository allows applied game developers and studios to search for software assets for inclusion in applied games. The repository is designed as an asset life-cycle management system for defining, publishing, updating, searching and packaging for distribution of these assets. The RAGE repository provides storage space for assets and their artefacts. It will be embedded in a social platform for networking among asset developers and other users. A dedicated Asset Repository Manager provides the main functionality of the repository and its integration with other systems. Tools supporting the Asset Manager are presented and discussed. When the RAGE repository is in full operation, applied game developers will be able to easily enhance the quality of their games by including advanced game technology assets. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

This deliverable presents and describes the first delivery of assets that are part of the core social agency bundle. In total, the bundle includes 16 assets, divided into 4 main categories. Each category is related to a type of challenge that developers of applied games are typically faced with and the aim of the included assets is to provide solutions to those challenges. The main goal of this document is to provide the reader with a description for each included asset, accompanied by links to their source code, distributable versions, demonstrations and documentation. A short discussion of what are the future steps for each asset is also given. The primary audience for the contents of this deliverable are the game developers, both inside and outside of the project, which can use this document as an official list of the current social agency assets and their associated resources. Note that the information about which RAGE use cases are using which of these assets is described in Deliverable 4.2. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

This paper presents the architecture of the RAGE repository, which is a unique and dedicated infrastructure that provides access to a wide variety of advanced technology components for applied game development. The RAGE project, which is the principal Horizon2020 research and innovation project in applied gaming, will develop software components (RAGE software assets) that are reusable across a variety of game engines, game platforms and programming languages. The RAGE repository provides storage space for these assets and associated artefacts and is designed as an asset life-cycle management system for defining, publishing, updating, searching and packaging for distribution of the assets. The repository will be embedded in a social platform for asset developers and other stakeholders. A dedicated Asset Repository Manager provides the main functionality of the repository and its integration with other systems. Additional Tools supporting the Asset Manager are also presented and discussed. When the RAGE repository is fully operational, applied game developers will be able to enhance the quality of their games through the application of selected advanced game software assets. By making available the RAGE repository system and software assets the RAGE project's aim is to stimulate the development and uptake of the Applied Games Industry in Europe. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities – from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions – technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.